Seasonal water change assessment at Mahanadi River, India using multi-temporal data in Google Earth engine

Ratiranjan Jena, Biswajeet Pradhan, Hyung Sup Jung, Abhishek Kumar Rai, Hossein Mojaddadi Rizeei

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Seasonal changes in river water vary seasonally as well as locationally, and the assessment is essential. In this study, we used the recent technique of post-classification by using the Google earth engine (GEE) to map the seasonal changes in Mahanadi river of Odisha. However, some fixed problems results during the rainy season that affects the livelihood system of Cuttack such as flooding, drowning of children and waste material deposit. Therefore, this study conducted 1) to map and analyse the water density changes and 2) to analyse the seasonal variation of river water to resolve and prevent problem shortcomings. Our results showed that nine types of variation can be found in the Mahanadi River each year. The increase and decrease of intensity of surface water analysed, and it varies in between -130 to 70 m3/nf. The highest frequency change is 2900 Hz near Cuttack city. The pi diagram provides the percentage of seasonal variation that can be observed as permanent water (30%), new seasonal (28%), ephemeral (12%), permanent to seasonal (7%) and seasonal (10%). The analysis is helpful and effective to assess the seasonal variation that can provide a platform for the development of Cuttack city that lies in Mahanadi delta.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalKorean Journal of Remote Sensing
Volume36
Issue number1
DOIs
StatePublished - 2020

Keywords

  • GIS
  • Mahanadi River
  • Remote sensing
  • Seasonal Variation
  • Water density

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